Justin Chumbley Ph.D

[bio][cv] [projects][publications] [github] [linkedin]

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    <td> I am an applied statistician with a broad background in behavioral and biological sciences (check out my CV <a href="http://chumbleycode.github.io/chumbleycode.github.io/docs/cv.pdf"> here</a>). I help my collaborators clarify, simplify and solve tricky interdisciplinary problems (read more about my current projects <a href="index.html"> back</a>).
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Click the figures to learn more about some of my projects!

drawing Current work in Bayesian parameter ranking!
drawing Bayesian life course models in developmental epidemiology!
drawing Multiple comparisons and spatial overfitting!
drawing Spatial inference for fMRI!
drawing Bayesian models of neuronal learning!
drawing A sampling strategy for studying bully victims.
drawing A primer on causal mediation for biologists!
drawing Effects of parental treatment on gene expression.
drawing Does parental treatment on gene expression: a pilot project?
drawing An R package for Differential binding of DNA transcription motifs!